深度学习在流程工业过程数据建模中的应用

[11] Deep convolutional neural network model based chemical process fault diagnosis[J] . Hao Wu,Jinsong Zhao. Computers and Chemical Engineering . 2018

[12] Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule[J] . Zehan Zhang,Teng Jiang,Shuanghong Li,Yupu Yang. Journal of Process Control . 2018

[13] Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing [J]. IFAC PAPERSONLINE, 2017, 50 (02): : 13 - 18

[14] A deep belief network based fault diagnosis model for complex chemical processes[J] . Zhanpeng Zhang,Jinsong Zhao. Computers and Chemical Engineering . 2017

[15] Data-driven soft sensor development based on deep learning technique[J] . Chao Shang,Fan Yang,Dexian Huang,Wenxiang Lyu. Journal of Process Control . 2014

[16] A fast learning algorithm for deep belief nets [J]. NEURAL COMPUTATION, 2006, 18 (07) : 1527 - 1554

[17] Soft sensors for on-line biomass measurements[J] . Lei Zhi Chen,Sing Kiong Nguang,Xue Mei Li,Xiao Dong Chen. Bioprocess and Biosystems Engineering . 2004 (3)

[18] Long short-term memory [J]. NEURAL COMPUTATION, 1997, 9 (08) : 1735 - 1780

[19] SUPPORT-VECTOR NETWORKS [J]. MACHINE LEARNING, 1995, 20 (03) : 273 - 297

[20] A logical calculus of the ideas immanent in nervous activity[J] . Warren S. McCulloch,Walter Pitts. Bulletin of Mathematical Biology . 1990 (1-2)

[11] Deep convolutional neural network model based chemical process fault diagnosis[J] . Hao Wu,Jinsong Zhao. Computers and Chemical Engineering . 2018

[12] Automated feature learning for nonlinear process monitoring – An approach using stacked denoising autoencoder and k-nearest neighbor rule[J] . Zehan Zhang,Teng Jiang,Shuanghong Li,Yupu Yang. Journal of Process Control . 2018

[13] Performance of Convolutional Neural Networks for Feature Extraction in Froth Flotation Sensing [J]. IFAC PAPERSONLINE, 2017, 50 (02): : 13 - 18

[14] A deep belief network based fault diagnosis model for complex chemical processes[J] . Zhanpeng Zhang,Jinsong Zhao. Computers and Chemical Engineering . 2017

[15] Data-driven soft sensor development based on deep learning technique[J] . Chao Shang,Fan Yang,Dexian Huang,Wenxiang Lyu. Journal of Process Control . 2014

[16] A fast learning algorithm for deep belief nets [J]. NEURAL COMPUTATION, 2006, 18 (07) : 1527 - 1554

[17] Soft sensors for on-line biomass measurements[J] . Lei Zhi Chen,Sing Kiong Nguang,Xue Mei Li,Xiao Dong Chen. Bioprocess and Biosystems Engineering . 2004 (3)

[18] Long short-term memory [J]. NEURAL COMPUTATION, 1997, 9 (08) : 1735 - 1780

[19] SUPPORT-VECTOR NETWORKS [J]. MACHINE LEARNING, 1995, 20 (03) : 273 - 297

[20] A logical calculus of the ideas immanent in nervous activity[J] . Warren S. McCulloch,Walter Pitts. Bulletin of Mathematical Biology . 1990 (1-2)